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Metro location and common data-engineer title increase applicant density despite niche Azure Databricks skills.
Core Azure data engineering skills transfer across industries, though finance security practices add moderate specialization.
Mandatory Azure ADF/Databricks and leadership requirements make technical filters strict.
Lead data engineering projects using Azure services (Data Factory, Databricks, Data Lake Gen 2, SQL) to build and operationalize business data solutions.
Provide technical leadership and guidance to a team of data engineers ensuring adherence to architectural principles.
Manage migration of on-premise data warehouses to Azure cloud and implement Lakehouse/Datawarehouse platforms with performance tuning and capacity planning.
Experience leading data engineering teams with technical oversight.
Hands-on expertise with Azure Data Factory, Databricks, Azure Data Lake Gen 2, Azure SQL.
Proven skills in data ingestion, transformation and migration from on-prem to Azure cloud.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in operating within secured Azure environments using KeyVaults, Service Principals, and Managed Identities.
Comfortable working with offshore teams and handling end-to-end project lifecycle activities such as requirements gathering, testing, and release.
Strong stakeholder management capabilities and process adherence in a data engineering context.
